Foliar Endophytic Fungi in Goji Leaves Across Three Growth Stages

High-throughput amplicon sequencing data assesses dynamic changes in foliar endophytic fungal communities in young, mature, and old Lycium barbarum (Goji) leaves. The dataset includes measurements of community diversity, richness, and amplicon sequence variants (ASVs), correlated with environmental and leaf physiological factors. Author Jingjing Yang published the dataset on figshare under a CC-BY-4.0 license, last updated on 2026-06-02.

Use Cases

• Modeling changes in fungal community diversity and evenness based on leaf growth stage.
• Identifying potential pathogen genera like Alternaria and Arthrocladiella across different leaf ages.
• Analyzing correlations between fungal community structure and factors like temperature, humidity, and leaf photosynthetic rate.
• Studying the simplification of fungal co-occurrence networks as leaves mature.

Strengths

• Data covers three distinct biological stages (young, mature, old leaves), enabling temporal analysis.
• Analysis correlates fungal community structure with multiple concrete environmental and physiological factors (e.g., temperature, humidity, leaf transpiration rate).
• Dataset is openly available under a permissive CC-BY-4.0 license.

Limitations

• The dataset is very small (18.6 KB), indicating limited scope or summary-level data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for statistical modeling.

Provenance

Source

figshare, author Jingjing Yang.

Collection Method

High-throughput amplicon sequencing of foliar endophytic fungi.

Freshness

Last updated 2026-06-02 05:42:13; freshness should be verified.

Geography

Likely Northwest China, where Lycium barbarum is widely distributed.